A differentiable parametrization of a group of unitary matrices.

Learning Dynamic Movement Primitives in Julia

Ecosystem for writing partial differential equation solvers

Structure-preserving numerical methods for dispersive shallow water models

A Julia package for Differential Evolution MCMC

A Julia package for differentiating through expectations with Monte-Carlo estimates

Interactive examples for different geodynamic problems

Julia implementation of the bond graph framework

Provides basic data structures and helpful functions for manipulating structures, generating input files, pre-running error checks, etc.

Modern Hopfield layer implementations in Julia

Computation graphs for matrix functions

The Biochemical Algorithms Library in Julia

ModelWrappers.jl is a utility package that makes it easier to work with Model parameters stated as (nested) NamedTuples.

Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation

Library that handles atom structures as XYZ files and properties derived from it.

Julia package for performing rigorous arithmetic of Imprecise Probabilities with fuzzy numbers

A generic and fast solver of mode-coupling theory-like integrodifferential equations

Tools to perform group contribution (GC) identification, given the SMILES of a compound

Simulations of cosmological scalar fields

Adaptive stress testing of black-box systems within POMDPs.jl

Is there anything we can't make Bayesian?

Experimental features for Flux.jl

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DSL for Financial Contracts.

A Julia library of positivity-preserving time integration methods

Thermodynamic Integration for Turing models and more

Immutables as mutables, mutables as immutables.

Exact reduction of ODE models via linear transformations

Library for the numerical simulation of open quantum systems.

A Julia package for fitting the equation of state of solids, and more

Drift diffusion simulator for semiconductor devices

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Julia implementation of elliptical slice sampling.

Helper files for using `Julia` with MTH229.

Julia package with several functions to train and analyze Autoencoder-based neural networks

Symbolics-based function property propagation for optimization

Discrete choice/random utility models in Julia

A small step for dynamics, a giant leap for SciML

Implementation of Integral Probability Measures in Julia

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